Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Tom Heath, Christian Bizer - Morgan & Claypool
The book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications.
Contents: Diploma ICTL; Advanced Diploma ICTL; Locating Information; Supporting Reader Development; Supporting Client Learning; Using ICT in Professional Practice; Safe and Legal Use of ICT; Net Navigator; Educator; Digital Culture - Online ...
by Howard Besser - Getty Research Institute
The book allows curators, librarians, collection managers, students to better understand the processes involved in building a cohesive set of digital images. It also explores how to link digitized images to the information required to manage them.
by David Novak - The Spire Project
In this book, we shall gather a collection of search techniques that extend our ability to collect and appreciate internet information. This will include the use of field searches, an understanding of the influences of context, format and source.